Published May 18, 2022
| Version v2
Dataset
Open
Darcy Flow Datasets for Paper "Variable-Input DeepONets for Operator Learning"
Description
This repository contains all datasets required to reproduce the Darcy Flow tests presented in the paper "Variable-Input DeepONets for Operator Learning".
Files
Files
(4.8 GB)
| Name | Size | |
|---|---|---|
|
md5:454e901397501a2eeace6105157d15d5
|
107.9 MB | Download |
|
md5:b99e6aef393133347c4d1a19d48ca81b
|
107.9 MB | Download |
|
md5:f2146ecfe775c85f68d5223db4ee30b4
|
162.6 MB | Download |
|
md5:483bfcf551c19fdb4485c07959ef85df
|
162.6 MB | Download |
|
md5:77b68f7501ca9a3364a149a9270d6f99
|
162.7 MB | Download |
|
md5:cb52fe7244a79f9ed63be7dfbc800036
|
162.4 MB | Download |
|
md5:056540fada851d80adca138ac7d33395
|
162.5 MB | Download |
|
md5:1cca68f58ecdeb2e14c742fb850f718c
|
162.6 MB | Download |
|
md5:ce7988199deba56fa795ec6dc713388a
|
107.9 MB | Download |
|
md5:88f0ff6a3733eae98b31bfca70cdc4fc
|
162.6 MB | Download |
|
md5:56f13fbbd7fdee6c74b745b41ba75548
|
162.6 MB | Download |
|
md5:d20ea1d1aa3eaee47f981e4e0ad5f2d5
|
162.6 MB | Download |
|
md5:cb6a7bd2e7e3bec16fb2e1520c3ac756
|
162.6 MB | Download |
|
md5:335d53a5d20d172eb53531e0ab807453
|
162.6 MB | Download |
|
md5:e6c64936c69cabbd5a26721f44a08456
|
162.6 MB | Download |
|
md5:2ea9d2534ef641813b89de48715345ee
|
107.9 MB | Download |
|
md5:647d3a66e0f707081fa842fabcd502c2
|
151.7 MB | Download |
|
md5:4c0a79821199059ad5f2ba94ca2e566d
|
151.7 MB | Download |
|
md5:01499e37c7a985076159ee58b62bfd4c
|
151.9 MB | Download |
|
md5:9a00c13956ecdc972d4a259aa21a5d22
|
151.6 MB | Download |
|
md5:ebd937abaca711753ffe8c7eb4d84ff5
|
151.6 MB | Download |
|
md5:64aab18332d3f84ace5c72145887188b
|
151.6 MB | Download |
|
md5:81ea98c11c7d0a6f40776a3ddf4c57f6
|
107.9 MB | Download |
|
md5:f7889b14f96e123367795df4d882c7f1
|
162.6 MB | Download |
|
md5:4e250be49ac05f4e6f296a4e0bad8bd4
|
162.5 MB | Download |
|
md5:5e98d42303270f1a82fde0a101e9ff5f
|
162.5 MB | Download |
|
md5:30714a84f273bccc642aaa5f213a4206
|
162.5 MB | Download |
|
md5:9e901e8faa1850cd62b9812147293263
|
162.6 MB | Download |
|
md5:271b4121db3548c4aa3c9ab97f66e2bd
|
162.6 MB | Download |
|
md5:48296fb8dd3d1239a4996a94c9842442
|
107.9 MB | Download |
|
md5:27a0506c20408ce81fe9db5430676978
|
21.6 MB | Download |
|
md5:df888d62649316b08306175746d2426e
|
21.6 MB | Download |
|
md5:c98fc7badf1b88c46e7024e43a36de8d
|
44.4 MB | Download |
|
md5:0fe91ab27267a654bdebe31042614186
|
21.6 MB | Download |
|
md5:c6183c2dd5c54d1d82fa6c38d4651e7d
|
44.2 MB | Download |
|
md5:266b7323350c4381f89c9f1fd28d24e0
|
21.6 MB | Download |
|
md5:b5e13ed6394760cdaa9a4c64bf2a22b9
|
39.0 MB | Download |
|
md5:6c62b73064c9ba1f811e590c2aadd70c
|
21.6 MB | Download |
|
md5:74869078ebb5fa732a9b179894820b97
|
44.2 MB | Download |
|
md5:fa8ee780e40265105ae1ab3fb050a07e
|
21.6 MB | Download |
|
md5:b3ef956cf52d9445b7262e0bba67f14d
|
740.9 kB | Download |
|
md5:45944079cdc89b407b7780b770ab36a2
|
740.9 kB | Download |
|
md5:dd20df1e0f54841667971e5168841f0c
|
2.4 MB | Download |
|
md5:d1994267a0081bbee35b20468bf96601
|
737.4 kB | Download |
|
md5:4a7f324b16ff872e84a8ea7482a3a2d3
|
2.4 MB | Download |
|
md5:9ae852101e95ac2d9754aaf03c253cdb
|
737.4 kB | Download |
|
md5:92dbab5efe091c47575ecb6fda3cba0e
|
1.3 MB | Download |
|
md5:727afbe9371f100104649311f760198a
|
737.4 kB | Download |
|
md5:c7a00ec7e2d49c54ccfb7780d51db38b
|
2.4 MB | Download |
|
md5:d7ad92c3353318c3b609cc96e1657a9d
|
737.4 kB | Download |